Parallel Problem Solving from Nature - PPSN XII

12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part I

  • Carlos A. Coello Coello
  • Vincenzo Cutello
  • Kalyanmoy Deb
  • Stephanie Forrest
  • Giuseppe Nicosia
  • Mario Pavone
Conference proceedings PPSN 2012
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7491)

Table of contents

  1. Front Matter
  2. Theory of Evolutionary Computation

    1. Andrea Mambrini, Dirk Sudholt, Xin Yao
      Pages 11-20
    2. Alberto Moraglio, Krzysztof Krawiec, Colin G. Johnson
      Pages 21-31
    3. Alexandre Chotard, Anne Auger, Nikolaus Hansen
      Pages 72-81
    4. Darrell Whitley, Wenxiang Chen, Adele Howe
      Pages 92-101
    5. Timo Kötzing, Hendrik Molter
      Pages 113-122
    6. Dimo Brockhoff, Manuel López-Ibáñez, Boris Naujoks, Günter Rudolph
      Pages 123-132
  3. Machine Learning, Classifier Systems, Image Processing

    1. Alessia Amelio, Clara Pizzuti
      Pages 143-152
    2. Roberto Ugolotti, Youssef S. G. Nashed, Stefano Cagnoni
      Pages 153-162
    3. Martin Pelikan, Mark W. Hauschild, Pier Luca Lanzi
      Pages 173-183
    4. Markus Thill, Patrick Koch, Wolfgang Konen
      Pages 184-194

Other volumes

  1. Parallel Problem Solving from Nature - PPSN XII
    12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part I
  2. 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part II

About these proceedings

Introduction

The two volume set LNCS 7491 and 7492 constitutes the refereed proceedings of the 12th International Conference on Parallel Problem Solving from Nature, PPSN 2012, held in Taormina, Sicily, Italy, in September 2012. The total of 105 revised full papers were carefully reviewed and selected from 226 submissions. The meeting began with 5 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN 2012 also included 8 tutorials. The papers are organized in topical sections on evolutionary computation; machine learning, classifier systems, image processing; experimental analysis, encoding, EDA, GP; multiobjective optimization; swarm intelligence, collective behavior, coevolution and robotics; memetic algorithms, hybridized techniques, meta and hyperheuristics; and applications.

Keywords

cellular automata genetic programming neural networks parallel computation swarm intelligence

Editors and affiliations

  • Carlos A. Coello Coello
    • 1
  • Vincenzo Cutello
    • 2
  • Kalyanmoy Deb
    • 3
  • Stephanie Forrest
    • 4
  • Giuseppe Nicosia
    • 5
  • Mario Pavone
    • 2
  1. 1.Centro de Investigacion y de Estudios, Avanzados del Instituto Politecnico Nacional (CINVESTAV-IPN), Departmento de ComputationMexico, D.F.Mexico
  2. 2.Department of Mathematics and Computer ScienceUniversity of CataniaCataniaItaly
  3. 3.Kanpur Genetic Algorithms Laboratory (KanGAL)Indian Institute of Technology, KanpurKanpurIndia
  4. 4.Department of Computer ScienceUniversity of NewMexicoUSA
  5. 5.Department of Mathematics and Computer ScienceUniversity of CataniaCataniaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-32937-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-32936-4
  • Online ISBN 978-3-642-32937-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book

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